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Record W4408877537 · doi:10.1016/j.jmig.2025.03.001

A Multicenter, Randomized Controlled Trial to Assess Video-Based Surgical Coaching in Gynecology

2025· article· en· W4408877537 on OpenAlexaff
Brenna Swift, Charlotte Axelrod, Anouk Benseler, Anna Kobylianskii, Danielle Vicus, Stéphane Laframboise, Melissa Walker, Mara Sobel, Evan Tannenbaum

Bibliographic record

VenueJournal of Minimally Invasive Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsUniversity Health NetworkLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai HospitalSunnybrook Health Science Centre
FundersDepartment of Obstetrics and Gynecology, Weill Cornell MedicineMount Sinai Health SystemDepartment of Obstetrics and Gynecology, Baylor College of Medicine
KeywordsMedicineCoachingRandomized controlled trialGynecologyObstetrics and gynaecologyMedical physicsSurgeryPregnancyPsychotherapist

Abstract

fetched live from OpenAlex

STUDY OBJECTIVE: To evaluate the effect of video-based coaching on technical skill development in surgical education. DESIGN: Randomized controlled trial with video-based coaching (intervention group) in addition to standard surgical curriculum or the standard surgical curriculum alone (control group). SETTING: Laparoscopic vaginal vault closure in the operating room at 3 academic hospitals. PARTICIPANTS: Senior Obstetrics and Gynecology residents (year 3-5) on their chief resident or gynecologic oncology rotation. INTERVENTIONS: All residents were recorded performing laparoscopic closure of the vaginal cuff prior to randomization. Surgical coaching sessions followed the Wisconsin Surgical Coaching Framework over 30 minutes on Zoom with one surgical coach. All residents were recorded subsequently performing the same surgical technical skill. Blinded, expert surgeons performed the video assessment using the OSATS, GOALS, and global rating scale. The mean change in operative time and the mean change in video-assessment score between the 2 video-recorded attempts were compared between groups. Qualitative semi-structured interviews were conducted to understand the residents' perspective on video-based surgical coaching. MEASUREMENTS AND MAIN RESULTS: Twenty residents participated with 10 in the coaching and 10 in the control group. Mean operative time to complete the suturing task was reduced by 32.8% (SD = 21.3%) in the coached group vs 7.2% (SD = 25.1%) in the control group (p = .025). There was no significant change in surgical assessment scores within the coached or control group. Residents identified the core components of a surgical coaching program to include: (1) the resident: focused skill development, (2) the coach: focused on feedback, (3) and the coaching program: a structured activity. Residents envisioned monthly coaching with the opportunity for deliberate practice, the importance of a positive relationship between the coach and coachee, and the importance of faculty development in surgical coaching. CONCLUSION: Video-based surgical coaching is an effective tool to enhance technical skill development in surgical education.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.342
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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